Generating high-quality, temporally continuous videos requires a significant amount of computational resources, especially for longer time spans. The latest Diffusion Transformer model (DiTs) has made significant progress in video generation, but its reliance on larger models and more complex attention mechanisms has resulted in slower inference speeds, exacerbating the challenge. To address this issue, researchers at Meta AI have proposed a training-free method called AdaCache to accelerate video DiTs.

Recently, the Meta AI team introduced LongVU, a novel spatio-temporal adaptive compression mechanism aimed at enhancing the language understanding capabilities of long videos. Traditional multimodal large language models (MLLMs) face limitations in context length when processing long videos, and LongVU was created to address this challenge. LongVU operates primarily by filtering duplicate frames and employing inter-frame token compression techniques to efficiently utilize context length, allowing it to reduce video data while preserving visual details.

Recently, Meta announced on its WhatsApp channel that its AI chatbot Meta AI has officially launched in six new countries, including Brazil, the UK, the Philippines, Bolivia, Guatemala, and Paraguay. This marks a further internationalization of Meta AI, aiming to provide a smarter interaction experience for users worldwide. Meta also revealed that, in addition to these six countries, the company plans to gradually roll out Meta AI to more countries in the future, particularly in the Middle East. With this expansion,

Recently, a wave of 'Goodbye, Meta AI' has swept across social media platforms. Many users, including high-profile figures such as Tom Brady and musician Cat Power, have taken to Instagram to publish statements aimed at preventing Meta from using their data to train AI models. This phenomenon reflects users' deep concerns about data privacy and the application of AI technology, posing new challenges for tech giants in balancing technological innovation with user rights. Although these statements have no legal binding force, they highlight the growing sentiment among users.

At the recently held Meta Connect 2024 conference, Meta's founder and CEO Zuckerberg excitedly announced that Meta AI's monthly active users have nearly reached 500 million and is expected to become the most used AI assistant globally. During his speech, Zuckerberg mentioned, 'We are currently close to 500 million monthly active users and have yet to launch in some major markets, such as the European market.' This news undoubtedly fills people with anticipation for the future of Meta AI.

Meta AI has become the most used platform in India, receiving billions of queries just months after its launch, particularly excelling on WhatsApp. After overcoming cultural challenges and making algorithm adjustments, the AI now supports multiple languages and is available in 22 countries. The training computational requirements for the new model Llama4 are ten times that of its predecessor. Meanwhile, the user base for the Threads social app is nearing 200 million, and Facebook's usage among young adults in the U.S. is showing positive trends.

Meta's success with AI products in the Indian market is largely due to the widespread use of WhatsApp, which boasts 500 million users in India. Since their launch, AI products have processed billions of queries, demonstrating exceptional user retention and engagement. Despite challenges in adapting to local cultures, addressing sensitive religious topics, and mitigating image generation biases, Meta has adjusted algorithms to ensure fairness and supports multiple languages, including Hindi. Furthermore, Meta has announced it is developing the next generation of computing capabilities that are 10 times more powerful than Llama3.